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Mixture theory
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#	Item
21	Ann Inst Stat Math:589–619 DOIs10463Influence diagnostics for robust P-splines using scale mixture of normal distributions Felipe Osorio Add to Reading List Source URL: www.ism.ac.jp Language: English - Date: 2016-06-28 03:34:42 Statistical theory Estimation theory Robust statistics Statistical methods Econometrics Outlier Maximum likelihood estimation Efficiency Expectationmaximization algorithm Spline Regression analysis Normal distribution
22	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-10-29 08:10:18 Computer vision Estimation theory Image segmentation Image processing Mixture model Mean shift Expectationmaximization algorithm Mode Generalised Hough transform Video Sequences Saliency Map
23	3rd Annual Health Econometrics Workshop Add to Reading List Source URL: www.healtheconometrics.org Language: English - Date: 2011-09-23 00:53:50 Statistical models Machine learning Estimation theory Categorical data Latent class model Mixture model Maximum likelihood estimation Errors-in-variables models Latent variable model
24	AUTOMATIC MUSIC TAGGING WITH TIME SERIES MODELS Luke Barrington Emanuele Coviello University of California, University of California, San Diego San Diego Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:26 Estimation theory Statistical models Statistical theory Cluster analysis Machine learning Mixture model Expectationmaximization algorithm Maximum likelihood estimation
25	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Citation information: DOITKDE, IEEE Tr Add to Reading List Source URL: people.tubri.org Language: English - Date: 2015-03-18 18:22:04 Robust statistics Estimation theory Statistical theory Covariance and correlation M-estimators Outlier Maximum likelihood estimation Mixture model Expectationmaximization algorithm Sample mean and covariance Efficiency Normal distribution
26	Learning stable, regularised latent models of neural population dynamics Lars Buesing, Jakob H. Macke and Maneesh Sahani Gatsby Computational Neuroscience Unit University College London, UK 17 Queen Square, London, WC1N Add to Reading List Source URL: www.mackelab.org Language: English - Date: 2016-08-04 15:02:44 Estimation theory Regression analysis Statistical models Bayesian statistics Econometrics Maximum likelihood estimation Expectationmaximization algorithm Variational Bayesian methods Linear regression Autoregressive model Variance function Mixture model
27	COMBINED ALGORITHMS FOR FITTING FINITE MIXTURE DISTRIBUTIONS COMBINED ALGORITHMS FOR CONSTRAINED ESTIMATION OF FINITE MIXTURE DISTRIBUTIONS WITH GROUPED Add to Reading List Source URL: ms.mcmaster.ca Language: English - Date: 2006-07-28 11:20:38 Estimation theory Probability distributions Expectationmaximization algorithm Missing data Mixture distribution Maximum likelihood estimation Mixture model
28	The EM Algorithm Fang-I Chu Department of Statistics and Applied Probability University of California Santa Barbara May 12, 2014 Add to Reading List Source URL: www.pstat.ucsb.edu Language: English - Date: 2014-11-07 15:18:43 Estimation theory Expectationmaximization algorithm Missing data Statistical models Maximum likelihood estimation Mixture model EM
29	A Statistical Model for Event Sequence Data Kevin Heins Department of Statistics University of California, Irvine Add to Reading List Source URL: contecenter.uci.edu Language: English - Date: 2014-08-06 21:12:14 Statistical models Stochastic processes Poisson processes Probability theory Probability distributions Markov chain Exponential distribution Renewal theory Mixture model Sequence alignment
30	Efﬁcient Nonparametric Belief Propagation with Application to Articulated Body Tracking Tony X. Han Huazhong Ning Thomas S. Huang Beckman Institute and ECE Department Add to Reading List Source URL: www.ifp.illinois.edu Language: English - Date: 2006-11-17 00:18:56 Graphical models Probability distributions Belief propagation Coding theory Probability theory Conference on Computer Vision and Pattern Recognition Normal distribution Mixture model DNA polymerase lambda

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